Nurture Campaign：跟进何时有回报，何时没有

A nurture campaign is a planned sequence of automated messages, usually email, sent to leads or customers who are not ready to buy yet. The term covers the campaign unit itself: who enters, what they receive and when, when they leave, and which result counts as success.

Nurture campaign is a practitioner label, not a term defined by any standards body. Academic research studies the same activity as automated lead nurturing, and that research holds the most useful finding for anyone running one. In one study, automated nurturing raised lead conversion. In two others, it showed no average effect. The difference came down to the kind of lead and the kind of sale.

So the useful question is not whether nurture campaigns work. It is when they pay, for whom, and how you would know.

Nurture Campaign vs Lead Nurturing and Drip Campaigns

Three neighboring terms overlap, and they are easier to use once their scopes are kept apart.

Lead nurturing is the broader process and strategy: building a relationship with prospects over time, across channels and teams, until they are ready for a sales conversation. A drip campaign describes the sending mechanics, a set of messages released on a schedule or in response to triggers. A nurture campaign sits between the two. It is one bounded campaign inside a nurturing strategy, with a defined audience, entry and exit rules, a goal, and a way to check whether that goal moved.

Marketing automation is the software that executes all three. A newsletter is different again. It goes to everyone on a list on a fixed rhythm, while a nurture campaign follows individual leads based on where they are.

How a Nurture Campaign Runs

Entry Rules

Every nurture campaign starts with a rule that decides who gets in. Typical entry points are a content download, a demo request sales cannot act on yet, or a stalled opportunity. The narrower the rule, the easier it is to write messages that answer the questions those people actually have.

The Sequence

The sequence is the set of messages plus the logic between them. Sequences can branch, so a lead who visits the pricing page gets a different follow-up from one who ignores three emails in a row. None of the studies reviewed here tested an ideal number of messages or gap between them, so treat any universal cadence rule with suspicion.

Exit Rules and the Handoff to Sales

A lead should leave when they buy, ask to stop, reach a threshold that justifies a sales conversation, or finish the sequence without responding. Many teams set that threshold with lead scoring, which assigns points for fit and behavior, and record the handoff at the marketing qualified lead stage. Without an exit rule, a nurture campaign keeps emailing people who already bought. That is the fastest way to turn a helpful sequence into noise.

When Automated Lead Nurturing Pays: What the Research Found

The strongest evidence on prospect nurturing comes from a study by Johannes Habel, Nathaniel Hartmann, Phillip Wiseman, Michael Ahearne, and Shashank Vaid in the Journal of Marketing 89(5), 2025. The authors analyzed automated lead nurturing in sales pipelines across three studies. The abstract does not state the geography of the data.

Zero Points in Two Studies, 23 in One

The headline result is a spread, not a single number. On average, automated lead nurturing changed the probability that a lead converted by 0 percentage points in Studies 1 and 3, and by 23 percentage points in Study 2. Reading that as a typical uplift would be a mistake. Two of the three studies found no average effect at all.

The Conditions That Separate Them

The authors explain the gap through the lead's situation. The effect depended strongly on how long the sales cycle was, how large the expected sale was, and whether the lead already had a relationship with the seller. Their recommendation is to use automated nurturing mainly for leads where an information gap persists and cannot be closed more cheaply some other way.

The journal's press release, published by the American Marketing Association in March 2025, put this in practical terms. Automated nurturing worked best for new leads, short sales cycles, and lower-value deals. Its impact was minimal for high-value deals and for returning customers.

That gives you a test before you build anything. New leads, smaller deals, a short cycle? Automated follow-up has a documented case. Large contracts with buyers who already know you? The same research found little average effect for those leads, and the effort is better spent on direct conversation.

Nurturing Existing Customers and Subscribers

Some nurture campaigns aim at people who already bought or subscribed, to bring them back or keep them from leaving. The evidence below comes from different industries and outcomes, so it stands on its own and is not support for the lead conversion findings above.

Context: Recurring Newsletters at a US Online Wine Retailer

Jean-Pierre Dubé and Ariel Xu ran field experiments with Wine Access, a US online wine retailer, published in Quantitative Marketing and Economics in 2026. In the first experiment, run from January 15 to 28, 2024, subscribers were randomly assigned to one of three versions of the recurring newsletter, or to a control group that received no newsletter but still got the company's other communications. Each newsletter group roughly doubled purchase propensity and came close to doubling gross profit from orders, compared with the control. Versions written by humans, by a large language model, and by a hybrid of the two performed about the same, with differences that were not statistically significant.

This is a customer newsletter result from one retailer, not evidence about prospect nurturing.

Context: Retention Emails at a US Subscription Car Wash

Yiwei Wang, Lauren Xiaoyuan Lu, and Pengcheng Shi tested engagement emails at a large US car wash chain with tiered subscriptions, in a field experiment published in Manufacturing and Service Operations Management in 2022. Two emails sent half a month apart increased the likelihood of retention by 7.4% five months after the experiment began, and lowered the odds of churn by 26.3% over those five months.

The effect showed fatigue after the second email. Email engagement also reduced profit among mid-level frequent-use and basic-level subscribers, while raising it among mid-level infrequent-use and top-level subscribers. In this setting, a customer sequence could keep people subscribed and still lose money in some segments.

What Personalization Studies Show, and Where They Disagree

Personalization is the most common way teams try to improve a sequence. The research gives a mixed picture, drawn from very different audiences.

Customizing With Preferences Recipients Volunteered

Mari Hartemo of the University of Turku studied a Finnish higher education institution that emailed 1,864 applicants who were not admitted in autumn 2019, all with Finnish as their first language, to encourage them to apply again. The study, published in the Journal of Research in Interactive Marketing in 2022, compared three groups across three email experiments. Emails customized with preferences recipients volunteered through a survey reached an aggregate open rate of 70.2%, a click-to-open rate of 35.5%, and a conversion rate of 19.9%, where conversion meant submitting an application. Emails personalized with observed data reached 51.0%, 20.5%, and 14.4%. Untailored control emails reached 54.9%, 17.8%, and 14.5%.

Two cautions apply. The volunteered group chose to answer a preference survey, so part of the gap may reflect who answered rather than the customization alone. Unsubscribes also moved the other way: 1.3% for volunteered-data emails, 0.6% for observed-data emails, and 0.5% for the control. That difference was not statistically significant.

Putting the Recipient's Name in the Subject Line

A 2018 study in Marketing Science by Navdeep Sahni, S. Christian Wheeler, and Pradeep Chintagunta found that adding the recipient's name to the subject line raised the probability of opening by 20%, from 9.05% to 10.80%. Sales leads rose 31%, from 0.39% to 0.51%, and unsubscribes fell 17%, from 1.2% to 1.0%. All three are relative changes.

A 2023 replication in Marketing Letters by Laurens Defau and Alexander Zauner did not reproduce that result. In an experiment where an alumni club invited university students to a career platform using German-language emails, the first name in the subject line had no positive effect on opening or click-through rates. Opening rates were 3.2% lower in the treatment group, a difference that was not statistically significant.

The two studies differ in audience, language, and year, and this entry does not decide which result generalizes. The conflict shows something narrower. A tactic that worked in one email program is a hypothesis to test in yours, not a setting to switch on.

How to Measure a Nurture Campaign

Opens and Clicks Are Not the Outcome

The Habel team advised measuring revenue and closed deals rather than engagement. In the journal's press release, co-author Phillip Wiseman of Texas Tech University described open rates and clicks as vanity metrics that don't necessarily signal sales success. The release also noted that automated nurturing can lift opens and website visits without those gains turning into sales. So pick one business outcome before launch, such as qualified meetings, applications, purchases, or renewals, and judge the campaign by that.

Compare Against a Holdout

The customer studies above share a design choice most campaign dashboards lack: a comparison group. Dubé and Xu could say what the newsletter added because some subscribers received none. A nurture campaign measured only against itself cannot separate the leads it converted from the leads who would have bought anyway.

The workable version is a holdout. Before launch, set aside a random share of eligible leads who enter no sequence, then compare the chosen outcome between the groups after a fixed period. If the nurtured group does not beat the holdout, the campaign is producing activity, not results.

Sending Limits and Opt-Out Rules

A nurture campaign also has to reach the inbox and respect opt-outs. Google's sender guidance for Gmail, as of November 2026, treats anyone sending close to 5,000 or more messages to personal Gmail accounts within 24 hours as a bulk sender, asks senders to keep their spam rate below 0.1% and to avoid reaching 0.3%, and restores eligibility for mitigation only after the rate stays under 0.3% for seven consecutive days. In the United States, the CAN-SPAM Act requires opt-out requests to be honored within 10 business days, requires the opt-out mechanism to work for at least 30 days after a message is sent, and makes no exception for business-to-business email. The Federal Trade Commission's compliance guide lists penalties of up to $53,088 per violating email. Inbox placement is covered in more depth under email deliverability.

Frequently Asked Questions

How is a nurture campaign different from a drip campaign?

A drip campaign describes sending mechanics: messages released on a schedule or by triggers. A nurture campaign is defined by its rules and purpose, meaning a specific audience, entry and exit conditions, and a business outcome to measure. Many nurture campaigns use drip mechanics.

Do automated nurture campaigns increase conversions?

Sometimes. A study in the Journal of Marketing 89(5), 2025, found automated lead nurturing changed lead conversion by 0 percentage points in Studies 1 and 3, and by 23 percentage points in Study 2. The effect depended on sales cycle length, expected sale size, and whether the lead already had a relationship with the seller.

Does putting the recipient's name in the subject line help?

The evidence is split. A 2018 Marketing Science study found it raised the probability of opening by 20% in relative terms. A 2023 replication using German-language emails to university students found no positive effect. Test it on your own list first.

Can nurture campaigns work for existing customers?

They can, with limits. In a 2022 field experiment at a US subscription car wash chain, two engagement emails raised retention, but the effect showed fatigue after the second email and profit fell in some subscriber segments.

When should a lead exit a nurture campaign?

When they buy, opt out, reach the score or behavior that justifies a sales conversation, or finish the sequence without responding. Without exit rules, people who already converted keep receiving messages written for prospects.

Related Terms

• Lead Nurturing: the wider process of building prospect relationships over time, of which a nurture campaign is one unit.
• Drip Campaign: the scheduled or triggered sending mechanics many nurture campaigns use.
• Marketing Automation: the software that runs sequences, scoring, and handoffs.
• Email Marketing: the channel most nurture campaigns are built on.

Sources

• Habel, J., et al. Sales Pipeline Technology: Automated Lead Nurturing. Journal of Marketing 89(5), 2025. Peer-reviewed journal; lead conversion probability; geography not stated. VERIFIED. https://experts.mcmaster.ca/scholarly-works/3596577
• American Marketing Association. Journal of Marketing press release on automated lead nurturing, March 25, 2025. Journal press release. VERIFIED. https://www.ama.org/press-releases/press-release-from-the-journal-of-marketing-automated-lead-nurturing-boosts-sales-but-only-under-the-right-conditions/
• Dubé, J.-P., and Xu, A. Large Language Models and Creative Content Design: a case study of email marketing at Wine Access. Quantitative Marketing and Economics 24, 2026. Field experiment; purchase propensity and gross profit; United States, one retailer. VERIFIED. https://link.springer.com/article/10.1007/s11129-025-09303-9
• Wang, Y., Lu, L. X., and Shi, P. Does Customer Email Engagement Improve Profitability? Manufacturing and Service Operations Management 24(5), 2022. Field experiment; retention, churn odds, profit; United States, one car wash chain. VERIFIED. https://econpapers.repec.org/RePEc:inm:ormsom:v:24:y:2022:i:5:p:2703-2721
• Hartemo, M. Conversions on the rise: modernizing e-mail marketing practices by utilizing volunteered data. Journal of Research in Interactive Marketing 16(4), 2022. Email experiments; open, click-to-open, application and unsubscribe rates; Finland. VERIFIED. https://www.emerald.com/jrim/article/16/4/585/449705/Conversions-on-the-rise-modernizing-e-mail
• Sahni, N. S., Wheeler, S. C., and Chintagunta, P. Personalization in Email Marketing: The Role of Noninformative Advertising Content. Marketing Science 37(2), 2018. Field experiment; relative change in opens, leads, unsubscribes; geography not stated. VERIFIED. https://www.gsb.stanford.edu/faculty-research/publications/personalization-email-marketing-role-non-informative-advertising
• Defau, L., and Zauner, A. Personalized subject lines in email marketing. Marketing Letters 34, 2023. Replication experiment; opening and click-through rates; German-language emails, country not stated. VERIFIED. https://link.springer.com/article/10.1007/s11002-023-09701-7
• Google Workspace Admin Help. Email sender requirements FAQ, as of November 2026. Platform documentation; Gmail recipients. VERIFIED. https://support.google.com/a/answer/14229414
• Federal Trade Commission. CAN-SPAM Act: A Compliance Guide for Business. US government guidance. VERIFIED. https://www.ftc.gov/business-guidance/resources/can-spam-act-compliance-guide-business